The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-12-25"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "79840206 (up from 79374464 yesterday: 0.59 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "1750580 (up from 1742271 yesterday: 0.48 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 13871527

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 2.19



In- Depth Country Wise Stats (With Atleast 100000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 18756360 99584 0.53 4321713 330246 1223 0.37 1.76
India 10169118 22273 0.22 560907 147343 251 0.17 1.45
Brazil 7448560 24615 0.33 914592 190488 506 0.27 2.56
Russia 2963290 28595 0.97 581278 52985 551 1.05 1.79
France 2604595 20262 0.78 280831 62548 159 0.25 2.40
United Kingdom 2227947 32803 1.49 533147 70302 570 0.82 3.16
Turkey 2118255 17543 0.84 1352258 19371 256 1.34 0.91
Italy 2028354 19037 0.95 339415 71359 459 0.65 3.52
Spain 1854951 0 0.00 170304 49824 0 0.00 2.69
Germany 1632736 2140 0.13 475222 29580 250 0.85 1.81
Colombia 1574707 14941 0.96 222100 41690 236 0.57 2.65
Argentina 1574554 10689 0.68 119923 42422 108 0.26 2.69
Mexico 1372243 9679 0.71 215473 121837 665 0.55 8.88
Poland 1249079 9081 0.73 207233 26992 240 0.90 2.16
Iran 1189203 6021 0.51 172368 54440 132 0.24 4.58
Ukraine 1041583 11458 1.11 232755 18255 198 1.10 1.75
Peru 1003982 3829 0.38 36907 37317 99 0.27 3.72
South Africa 983359 14796 1.53 177555 26276 293 1.13 2.67
Netherlands 755038 11545 1.55 201998 11015 101 0.93 1.46
Indonesia 700097 7259 1.05 136417 20847 258 1.25 2.98
Czechia 664863 4402 0.67 122457 10859 83 0.77 1.63
Belgium 637246 2342 0.37 49807 19089 51 0.27 3.00
Romania 612373 3812 0.63 112100 15023 111 0.74 2.45
Chile 595831 1679 0.28 38696 16358 55 0.34 2.75
Iraq 589943 1140 0.19 29321 12755 11 0.09 2.16
Canada 538741 558 0.10 132552 14746 1 0.01 2.74
Bangladesh 507265 1163 0.23 33274 7398 20 0.27 1.46
Pakistan 469482 2260 0.48 56291 9816 63 0.65 2.09
Philippines 467601 1877 0.40 31256 9062 7 0.08 1.94
Switzerland 428197 0 0.00 83700 7159 61 0.86 1.67
Morocco 428193 2329 0.55 55573 7170 40 0.56 1.67
Sweden 396048 0 0.00 117136 8279 0 0.00 2.09
Israel 394391 4713 1.21 52290 3186 15 0.47 0.81
Portugal 391782 4146 1.07 79229 6478 65 1.01 1.65
Saudi Arabia 361903 178 0.05 3567 6168 9 0.15 1.70
Austria 349055 1851 0.53 51810 5783 38 0.66 1.66
Serbia 320167 3823 1.21 113227 2931 49 1.70 0.92
Hungary 314164 2610 0.84 76108 8833 104 1.19 2.81
Jordan 285306 1616 0.57 50953 3711 30 0.81 1.30
Nepal 257200 608 0.24 18339 1816 8 0.44 0.71
Panama 226660 2986 1.33 53053 3756 41 1.10 1.66
Georgia 218724 1881 0.87 66020 2313 37 1.63 1.06
Japan 214575 3806 1.81 56188 3016 49 1.65 1.41
Azerbaijan 211764 1703 0.81 73764 2416 36 1.51 1.14
Ecuador 208828 818 0.39 12346 13984 7 0.05 6.70
Croatia 203962 1643 0.81 60592 3548 84 2.42 1.74
United Arab Emirates 199665 1230 0.62 25603 653 6 0.93 0.33
Bulgaria 196915 257 0.13 38108 7073 50 0.71 3.59
Kazakhstan 196216 1223 0.63 17838 2685 8 0.30 1.37
Belarus 183006 1893 1.05 39623 1367 9 0.66 0.75
Lebanon 168069 2136 1.29 33774 1367 14 1.03 0.81
Slovakia 165608 4046 2.50 52216 1732 0 0.00 1.05
Dominican Republic 165035 1381 0.84 18355 2404 0 0.00 1.46
Costa Rica 162990 0 0.00 19305 2086 0 0.00 1.28
Armenia 156763 621 0.40 17071 2733 19 0.70 1.74
Bolivia 153590 469 0.31 8265 9083 7 0.08 5.91
Denmark 149926 2999 2.04 62660 1134 20 1.80 0.76
Kuwait 149277 260 0.17 5360 926 0 0.00 0.62
Qatar 142734 129 0.09 3091 244 1 0.41 0.17
Moldova 140250 815 0.58 26421 2871 23 0.81 2.05
Guatemala 135080 186 0.14 10275 4757 8 0.17 3.52
Greece 134852 617 0.46 21667 4507 50 1.12 3.34
West Bank and Gaza 130598 1518 1.18 35922 1260 17 1.37 0.96
Egypt 130126 1133 0.88 12543 7309 49 0.67 5.62
Tunisia 128578 1826 1.44 26678 4385 61 1.41 3.41
Oman 128290 0 0.00 3961 1491 0 0.00 1.16
Lithuania 126581 2692 2.17 56999 1205 19 1.60 0.95
Ethiopia 121880 481 0.40 9789 1897 15 0.80 1.56
Burma 120546 758 0.63 24026 2552 20 0.79 2.12
Honduras 118659 623 0.53 8899 3061 7 0.23 2.58
Slovenia 113815 1794 1.60 30682 2507 28 1.13 2.20
Venezuela 111603 358 0.32 7726 1010 4 0.40 0.90
Bosnia and Herzegovina 108891 593 0.55 16098 3901 23 0.59 3.58
Paraguay 103888 559 0.54 17389 2154 0 0.00 2.07
Malaysia 101565 1247 1.24 31329 449 3 0.67 0.44

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
California 2060797 20609 1.01 750490 23958 77 0.32 1.16 52155.94 606.34 1 in 19
Texas 1662724 3315 0.20 303208 26896 189 0.71 1.62 57343.46 927.58 1 in 17
Florida 1247546 0 0.00 208339 20995 0 0.00 1.68 58085.54 977.52 1 in 17
Illinois 930849 5742 0.62 160761 17154 194 1.14 1.84 73458.19 1353.71 1 in 14
New York 903716 12446 1.40 218228 37158 130 0.35 4.11 46455.04 1910.09 1 in 22
Ohio 653650 0 0.00 196687 8456 0 0.00 1.29 55919.62 723.41 1 in 18
Georgia 624630 6054 0.98 130276 10631 49 0.46 1.70 58830.66 1001.28 1 in 17
Pennsylvania 601940 6132 1.03 197419 14837 130 0.88 2.46 47019.26 1158.96 1 in 21
Tennessee 546497 0 0.00 153889 6431 0 0.00 1.18 79977.04 941.14 1 in 13
Michigan 508449 0 0.00 88181 12415 0 0.00 2.44 50911.81 1243.13 1 in 20
Wisconsin 505345 1639 0.33 73138 5025 6 0.12 0.99 86792.74 863.04 1 in 12
North Carolina 494511 0 0.00 111977 6360 0 0.00 1.29 47149.79 606.40 1 in 21
Indiana 488180 5446 1.13 120851 7770 40 0.52 1.59 72513.98 1154.15 1 in 14
Arizona 486935 6616 1.38 134834 8409 115 1.39 1.73 63945.09 1104.28 1 in 16
New Jersey 454902 5060 1.12 98240 18595 51 0.28 4.09 51215.07 2093.52 1 in 20
Minnesota 404403 0 0.00 65430 5109 0 0.00 1.26 71707.34 905.91 1 in 14
Missouri 388430 1745 0.45 67958 5460 9 0.17 1.41 63288.73 889.62 1 in 16
Alabama 342426 3625 1.07 78227 4680 4 0.09 1.37 69837.46 954.48 1 in 14
Massachusetts 341925 0 0.00 95527 11963 0 0.00 3.50 49201.36 1721.42 1 in 20
Virginia 327993 4078 1.26 80613 4820 29 0.61 1.47 38426.84 564.70 1 in 26
Colorado 322189 2659 0.83 69967 4586 36 0.79 1.42 55947.87 796.36 1 in 18
Louisiana 296499 0 0.00 49322 7272 0 0.00 2.45 63779.77 1564.28 1 in 16
South Carolina 285028 0 0.00 59015 5043 0 0.00 1.77 55359.07 979.47 1 in 18
Iowa 274266 605 0.22 32735 3743 5 0.13 1.36 86928.66 1186.34 1 in 12
Oklahoma 272553 0 0.00 63678 2328 0 0.00 0.85 68879.20 588.33 1 in 15
Maryland 263160 2432 0.93 53969 5659 32 0.57 2.15 43528.60 936.04 1 in 23
Utah 260589 0 0.00 51419 1204 0 0.00 0.46 81282.72 375.55 1 in 12
Kentucky 250279 0 0.00 56087 2466 0 0.00 0.99 56019.99 551.97 1 in 18
Washington 233093 0 0.00 51764 3184 0 0.00 1.37 30610.15 418.13 1 in 33
Nevada 214064 1853 0.87 51630 2941 27 0.93 1.37 69497.78 954.82 1 in 14
Arkansas 213267 2122 1.00 46130 3438 32 0.94 1.61 70669.11 1139.23 1 in 14
Kansas 212989 0 0.00 41843 2503 0 0.00 1.18 73108.84 859.16 1 in 14
Mississippi 204178 1527 0.75 42662 4562 6 0.13 2.23 68604.76 1532.85 1 in 15
Connecticut 172743 0 0.00 45028 5791 0 0.00 3.35 48451.36 1624.27 1 in 21
Nebraska 161162 805 0.50 24837 1558 -10 -0.64 0.97 83313.34 805.41 1 in 12
New Mexico 136622 1456 1.08 31687 2307 35 1.54 1.69 65156.48 1100.23 1 in 15
Idaho 135233 0 0.00 26867 1349 0 0.00 1.00 75462.11 752.76 1 in 13
Oregon 106821 0 0.00 25384 1415 0 0.00 1.32 25326.61 335.49 1 in 39
South Dakota 96546 0 0.00 12148 1430 0 0.00 1.48 109133.58 1616.44 1 in 9
North Dakota 91221 274 0.30 9272 1264 4 0.32 1.39 119702.86 1658.66 1 in 8
Rhode Island 82066 0 0.00 19929 1704 0 0.00 2.08 77467.45 1608.52 1 in 13
Montana 78929 0 0.00 12493 916 0 0.00 1.16 73849.76 857.05 1 in 14
West Virginia 78836 1597 2.07 26664 1247 19 1.55 1.58 44112.77 697.76 1 in 23
Puerto Rico 71424 616 0.87 16827 1432 9 0.63 2.00 22364.07 448.38 1 in 45
Delaware 53653 638 1.20 15255 891 3 0.34 1.66 55098.57 915.01 1 in 18
Alaska 45104 0 0.00 9779 199 0 0.00 0.44 61655.81 272.03 1 in 16
Wyoming 42664 0 0.00 6927 373 0 0.00 0.87 73716.35 644.48 1 in 14
New Hampshire 38902 0 0.00 15212 690 0 0.00 1.77 28610.49 507.46 1 in 35
District of Columbia 27436 0 0.00 4956 756 0 0.00 2.76 38875.01 1071.20 1 in 26
Maine 21547 321 1.51 8703 319 2 0.63 1.48 16029.47 237.31 1 in 62
Hawaii 21147 154 0.73 2542 285 0 0.00 1.35 14935.67 201.29 1 in 67
Vermont 6781 0 0.00 2018 120 0 0.00 1.77 10867.18 192.31 1 in 92

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 California 31066861 2060797 6.63 6391383 750490 11.74 786259.5
2 Texas 13250571 1662724 12.55 2139535 303208 14.17 456981.2
3 Florida 15093456 1247546 8.27 2236359 208339 9.32 702748.9
4 Illinois 12881938 930849 7.23 1962940 160761 8.19 1016581.4
5 New York 24296753 903716 3.72 4123292 218228 5.29 1248961.7
6 Ohio 7468945 653650 8.75 1119503 196687 17.57 638966.6
7 Georgia 5188835 624630 12.04 753815 130276 17.28 488709.5
8 Pennsylvania 3804439 601940 15.82 512518 197419 38.52 297175.6
9 Tennessee 5473851 546497 9.98 822507 153889 18.71 801070.0
10 Michigan 7850048 508449 6.48 949888 88181 9.28 786037.9
11 Wisconsin 5218324 505345 9.68 661758 73138 11.05 896244.4
12 North Carolina 6547998 494511 7.55 1062711 111977 10.54 624327.4
13 Indiana 5484835 488180 8.90 1020343 120851 11.84 814714.3
14 Arizona 2740972 486935 17.77 414228 134834 32.55 359948.8
15 New Jersey 7460365 454902 6.10 1277866 98240 7.69 839924.1
16 Minnesota 5141662 404403 7.87 819322 65430 7.99 911701.7
17 Missouri 3555031 388430 10.93 407477 67958 16.68 579237.9
18 Alabama 1834424 342426 18.67 208056 78227 37.60 374129.1
19 Massachusetts 10514045 341925 3.25 1739348 95527 5.49 1512920.4
20 Virginia 4070000 327993 8.06 683376 80613 11.80 476831.0
21 Colorado 4251042 322189 7.58 853968 69967 8.19 738190.1
22 Louisiana 4075822 296499 7.27 509288 49322 9.68 876748.2
23 South Carolina 2998755 285028 9.50 523856 59015 11.27 582428.0
24 Iowa 1160420 274266 23.64 70859 32735 46.20 367795.3
25 Oklahoma 2587225 272553 10.53 395581 63678 16.10 653839.8
26 Maryland 5507948 263160 4.78 924720 53969 5.84 911055.2
27 Utah 2171768 260589 12.00 284112 51419 18.10 677416.2
28 Kentucky 3061692 250279 8.17 362011 56087 15.49 685299.0
29 Washington 3649210 233093 6.39 754843 51764 6.86 479220.1
30 Nevada 2013939 214064 10.63 317045 51630 16.28 653843.2
31 Arkansas 1998908 213267 10.67 264222 46130 17.46 662367.1
32 Kansas 962204 212989 22.14 117018 41843 35.76 330278.2
33 Mississippi 1331836 204178 15.33 187925 42662 22.70 447503.1
34 Connecticut 4125079 172743 4.19 702981 45028 6.41 1157011.8
35 Nebraska 1690283 161162 9.53 268580 24837 9.25 873798.6
36 New Mexico 1912551 136622 7.14 292168 31687 10.85 912115.9
37 Idaho 534632 135233 25.29 50440 26867 53.27 298332.9
38 Oregon 2537482 106821 4.21 450428 25384 5.64 601621.7
39 South Dakota 366510 96546 26.34 29998 12148 40.50 414295.2
40 North Dakota 1218701 91221 7.49 101898 9272 9.10 1599215.0
41 Rhode Island 1887457 82066 4.35 278609 19929 7.15 1781693.9
42 Montana 771693 78929 10.23 96431 12493 12.96 722033.0
43 West Virginia 1450024 78836 5.44 261419 26664 10.20 811362.5
45 Delaware 929429 53653 5.77 168625 15255 9.05 954470.5
46 Alaska 1227735 45104 3.67 177366 9779 5.51 1678276.8
47 Wyoming 478351 42664 8.92 66066 6927 10.48 826511.6
48 New Hampshire 992283 38902 3.92 147083 15212 10.34 729774.9
49 District of Columbia 856781 27436 3.20 138539 4956 3.58 1214002.4
50 Maine 1068529 21547 2.02 154853 8703 5.62 794911.1
51 Hawaii 780457 21147 2.71 93701 2542 2.71 551220.0
52 Vermont 671230 6781 1.01 98360 2018 2.05 1075708.1

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 4765500 469883 2628 0.56 9.86 3976 522 58710 24782 5.27
Veneto 3201904 234792 5010 2.18 7.33 2582 346 87385 5953 2.54
Piemonte 1648345 193375 875 0.45 11.73 3029 214 31497 7755 4.01
Campania 1983049 185282 1009 0.55 9.34 1449 102 80547 2670 1.44
Emilia-Romagna 2496457 163290 2127 1.32 6.54 2711 206 58980 7400 4.53
Lazio 2635605 155667 1691 1.10 5.91 2666 290 76074 3489 2.24
Toscana 1841106 118155 613 0.52 6.42 843 166 11269 3558 3.01
Sicilia 1179159 88597 720 0.82 7.51 995 174 33232 2256 2.55
Puglia 1004403 85674 1011 1.19 8.53 1413 166 53589 2310 2.70
Liguria 693519 58971 445 0.76 8.50 663 64 5669 2842 4.82
Friuli Venezia Giulia 904549 47299 584 1.25 5.23 572 54 12084 1534 3.24
Marche 511362 39310 603 1.56 7.69 398 60 9567 1516 3.86
Abruzzo 505462 34437 339 0.99 6.81 435 34 11867 1162 3.37
Sardegna 466701 29876 409 1.39 6.40 484 43 16320 701 2.35
P.A. Bolzano 354080 28722 182 0.64 8.11 147 19 10564 711 2.48
Umbria 490891 27977 232 0.84 5.70 240 36 3546 597 2.13
Calabria 427662 22278 257 1.17 5.21 270 21 8529 441 1.98
P.A. Trento 440570 20839 154 0.74 4.73 306 49 1777 892 4.28
Basilicata 180476 10447 69 0.66 5.79 87 7 5956 240 2.30
Valle d’Aosta 61109 7130 11 0.15 11.67 84 4 428 371 5.20
Molise 112785 6353 68 1.08 5.63 52 7 2296 179 2.82

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 185872 0 0.00 7913 0 0.00 4.26 21770.80 926.83 1 in 46
Ontario 169694 557 0.33 4304 1 0.02 2.54 11534.53 292.55 1 in 87
Alberta 93781 0 0.00 890 0 0.00 0.95 21250.37 201.67 1 in 47
British Columbia 48609 0 0.00 808 0 0.00 1.66 9510.82 158.09 1 in 105
Manitoba 23624 0 0.00 617 0 0.00 2.61 17149.70 447.91 1 in 58
Saskatchewan 14255 0 0.00 134 0 0.00 0.94 12063.48 113.40 1 in 83
Nova Scotia 1465 0 0.00 65 0 0.00 4.44 1498.79 66.50 1 in 667
New Brunswick 588 1 0.17 8 0 0.00 1.36 753.85 10.26 1 in 1327
Newfoundland and Labrador 384 0 0.00 4 0 0.00 1.04 736.53 7.67 1 in 1358
Nunavut 265 0 0.00 1 0 0.00 0.38 NA NA 1 in NA
Prince Edward Island 94 0 0.00 0 0 NaN 0.00 594.34 0.00 1 in 1683
Yukon 60 0 0.00 1 0 0.00 1.67 1460.64 24.34 1 in 685
Northwest Territories 24 0 0.00 0 0 NaN 0.00 534.47 0.00 1 in 1871
Repatriated Travellers 13 0 0.00 0 0 NaN 0.00 NA NA 1 in NA

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 57323.84 1009.31 1 in 17
India 7594.56 110.04 1 in 132
Brazil 35587.96 910.12 1 in 28
Russia 20507.20 366.68 1 in 49
France 38880.36 933.69 1 in 26
United Kingdom 33533.22 1058.13 1 in 30
Turkey 26212.78 239.71 1 in 38
Italy 33537.60 1179.88 1 in 30
Spain 39754.63 1067.81 1 in 25
Germany 19721.42 357.29 1 in 51
Colombia 32091.03 849.60 1 in 31
Argentina 35567.07 958.26 1 in 28
Mexico 10621.08 943.01 1 in 94
Poland 32887.81 710.69 1 in 30
Iran 14652.58 670.77 1 in 68
Ukraine NA NA 1 in NA
Peru 31208.64 1159.99 1 in 32
South Africa 17337.08 463.26 1 in 58
Netherlands 43948.66 641.15 1 in 23
Indonesia 2651.88 78.97 1 in 377

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
Los Angeles California 678040 9305 1.37
Cook Illinois 382213 8031 2.10
Maricopa Arizona 299056 4892 1.64
Miami-Dade Florida 283285 4108 1.45
Harris Texas 225365 3328 1.48
Dallas Texas 179418 1921 1.07
San Bernardino California 176866 1420 0.80
Riverside California 162435 1829 1.13
Clark Nevada 161913 2259 1.40
Orange California 141205 1782 1.26
San Diego California 136955 1382 1.01
Tarrant Texas 135793 1361 1.00
Broward Florida 130978 1798 1.37
Queens New York 115760 7501 6.48
Kings New York 114302 7664 6.71
Bexar Texas 106793 1684 1.58
Salt Lake Utah 102160 531 0.52
El Paso Texas 96722 1609 1.66
Philadelphia Pennsylvania 89887 2356 2.62
Milwaukee Wisconsin 89354 971 1.09
Suffolk New York 87985 2236 2.54
Hennepin Minnesota 84116 1345 1.60
Wayne Michigan 82216 3542 4.31
Nassau New York 81099 2356 2.91
Palm Beach Florida 78852 1858 2.36
Franklin Ohio 78759 696 0.88
Bronx New York 78663 5110 6.50
Hillsborough Florida 72860 1056 1.45
Orange Florida 71524 726 1.02
Middlesex Massachusetts 69259 2644 3.82
Marion Indiana 67300 1084 1.61
St. Louis Missouri 66284 1334 2.01
Westchester New York 65851 1635 2.48
Cuyahoga Ohio 65552 875 1.33
Pima Arizona 64715 983 1.52
Utah Utah 63572 203 0.32
Shelby Tennessee 62981 837 1.33
Kern California 62439 485 0.78
Santa Clara California 61742 643 1.04
Fresno California 61435 646 1.05
Sacramento California 60596 809 1.34
King Washington 59894 976 1.63
DuPage Illinois 59577 981 1.65
New York New York 59266 3297 5.56
Oakland Michigan 58949 1572 2.67
Davidson Tennessee 57833 537 0.93
Mecklenburg North Carolina 57755 514 0.89
Duval Florida 57050 711 1.25
Providence Rhode Island 55922 1277 2.28
Oklahoma Oklahoma 55011 416 0.76
Fulton Georgia 53911 776 1.44
Gwinnett Georgia 53692 589 1.10
Essex Massachusetts 53682 1625 3.03
Fairfield Connecticut 53101 1669 3.14
Prince George’s Maryland 52363 1061 2.03
Douglas Nebraska 51281 480 0.94
Suffolk Massachusetts 50653 1341 2.65
Will Illinois 50528 748 1.48
Allegheny Pennsylvania 50307 899 1.79
Hidalgo Texas 49728 2176 4.38
Jefferson Alabama 49125 658 1.34
Hamilton Ohio 48711 411 0.84
Jefferson Kentucky 48487 512 1.06
Macomb Michigan 48060 1543 3.21
Alameda California 47527 619 1.30
Travis Texas 47076 528 1.12
Lake Illinois 46833 786 1.68
Denver Colorado 46258 653 1.41
Essex New Jersey 45459 2363 5.20
Tulsa Oklahoma 45349 367 0.81
Bergen New Jersey 45064 2276 5.05
New Haven Connecticut 44134 1486 3.37
Collin Texas 44070 350 0.79
Montgomery Maryland 43918 1092 2.49
Hartford Connecticut 43253 1790 4.14
Middlesex New Jersey 42584 1628 3.82
Pinellas Florida 42176 1013 2.40
Kent Michigan 41834 511 1.22
Hudson New Jersey 41759 1677 4.02
Fairfax Virginia 41758 670 1.60
San Joaquin California 41324 618 1.50
Cobb Georgia 41180 564 1.37
Lubbock Texas 40453 522 1.29
Polk Iowa 40411 406 1.00
Kane Illinois 40196 581 1.45
El Paso Colorado 39656 528 1.33
Wake North Carolina 39487 337 0.85
Bernalillo New Mexico 39100 524 1.34
Erie New York 38852 1128 2.90
Passaic New Jersey 38839 1426 3.67
Worcester Massachusetts 38594 1448 3.75
Adams Colorado 38525 495 1.28
Lake Indiana 38455 570 1.48
Lee Florida 38288 646 1.69
Baltimore Maryland 37098 899 2.42
Sedgwick Kansas 36975 349 0.94
Contra Costa California 36752 308 0.84
Johnson Kansas 36727 413 1.12
Arapahoe Colorado 36692 536 1.46
Denton Texas 36303 320 0.88

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc